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利用地理信息系统技术对土耳其阿达纳省卡拉伊萨利区白蛉种类的空间分布和皮肤利什曼病危险因素进行调查。

Investigation of the spatial distribution of sandfly species and cutaneous leishmaniasis risk factors by using geographical information system technologies in Karaisali district of Adana province, Turkey.

作者信息

Artun Ozan, Kavur Hakan

机构信息

Karaisali Vocational School, Cukurova University, Karaisali, Turkey.

出版信息

J Vector Borne Dis. 2017 Jul-Sep;54(3):233-239. doi: 10.4103/0972-9062.217614.

DOI:10.4103/0972-9062.217614
PMID:29097638
Abstract

BACKGROUND & OBJECTIVES: Cutaneous leishmaniasis displays two epidemiological routes of transmission, zoonotic cutaneous leishmaniasis (ZCL) which includes animal reservoir hosts in the transmission cycle and anthroponotic cutaneous leishmaniasis (ACL), where human is the sole source of infection for the vector sandflies. About 10-13% of CL cases are reported each year from Adana province in Turkey. The aim of this study was to develop a predictive model for determining the spatial risk level of cutaneous leishmaniasis in the Adana province, southern part of Turkey, in relation to environmental factors.

METHODS

Entomological survey was carried out between June 2015 and September 2016. Sandflies were collected from Karaisali district of the Adana province using light-traps and sticky papers. Sandfly fauna results were compared with environmental data obtained from field-survey, and examined with univariate and binary logistic regression in PASW statistical software. The ArcMap application of ArcGIS10.0. software was used for geographical adjustments to create maps and establish a risk model.

RESULTS

In total five sandfly species were identified in the study area, and three of them (Phlebotomus tobbi, P. neglectus/syriacus and P. perfiliewi) were detected as potential vectors of cutaneous leishmaniasis. The results showed that enhanced vegetation index (EVI) and emissivity band 31 (EMIS31) values are related to the distribution of these three species.

INTERPRETATION & CONCLUSION: The created risk maps may provide useful information to guide the control programme interventions and prevent the economic loses in the future insecticide applications. They could be used to better understand the distribution of vectors, and determine the epidemiology and risk level of the CL.

摘要

背景与目的

皮肤利什曼病呈现两种流行病学传播途径,即动物源性皮肤利什曼病(ZCL),其传播循环中有动物储存宿主,以及人源性皮肤利什曼病(ACL),其中人类是媒介白蛉的唯一感染源。土耳其阿达纳省每年报告约10% - 13%的皮肤利什曼病病例。本研究的目的是建立一个预测模型,以确定土耳其南部阿达纳省皮肤利什曼病的空间风险水平与环境因素的关系。

方法

于2015年6月至2016年9月进行了昆虫学调查。使用诱虫灯和粘纸从阿达纳省卡拉伊萨利区收集白蛉。将白蛉种类结果与实地调查获得的环境数据进行比较,并在PASW统计软件中用单变量和二元逻辑回归进行分析。使用ArcGIS10.0软件的ArcMap应用程序进行地理调整,以创建地图并建立风险模型。

结果

在研究区域共鉴定出五种白蛉,其中三种(托比白蛉、疏忽/叙利亚白蛉和佩氏白蛉)被检测为皮肤利什曼病的潜在传播媒介。结果表明,增强植被指数(EVI)和发射率波段31(EMIS31)值与这三种白蛉的分布有关。

解读与结论

所创建的风险地图可为指导控制项目干预措施以及防止未来杀虫剂应用中的经济损失提供有用信息。它们可用于更好地了解传播媒介的分布,并确定皮肤利什曼病的流行病学和风险水平。

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